Results 131 to 140 of about 4,805,610 (298)

Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks

, 2019
This chapter proposes an efficient hybrid training technique (ALOMLP) based on the Ant Lion Optimizer (ALO) to be utilized in dealing with Multi-Layer Perceptrons (MLPs) neural networks.
Heidari, AA, Faris, H, Mirjalili, S, Ali Asghar Heidari, Aljarah, I, Seyedali Mirjalili, Majdi Mafarja, Mafarja, M, Hossam Faris, Ibrahim Aljarah   +9 more
core   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms. [PDF]

Sci Rep, 2023
Joo Y, Namgung E, Jeong H, Kang I, Kim J, Oh S, Lyoo IK, Yoon S, Hwang J.   +8 more
europepmc   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Prediksi Kanker Paru menggunakan Grid search untuk Optimasi Hyperparameter pada Algoritma MLP dan Logistic Regression

Jurnal Elkomika
ABSTRAK Kanker paru merupakan penyebab utama kematian akibat kanker di seluruh dunia. Prediksi dini kanker paru-paru telah banyak dilakukan, baik berbasis citra maupun data mentah.
NOR KUMALASARI CAECAR PRATIWI, NUR IBRAHIM, SOFIA SAIDAH   +2 more
doaj   +1 more source

Application of a Multi-Layer Perceptron in Preoperative Screening for Orthognathic Surgery. [PDF]

Healthc Inform Res, 2023
Chaiprasittikul N, Thanathornwong B, Pornprasertsuk-Damrongsri S, Raocharernporn S, Maponthong S, Manopatanakul S.   +5 more
europepmc   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Enhancing accuracy in brain stroke detection: Multi-layer perceptron with Adadelta, RMSProp and AdaMax optimizers. [PDF]

Front Bioeng Biotechnol, 2023
Uppal M, Gupta D, Juneja S, Gadekallu TR, El Bayoumy I, Hussain J, Lee SW.   +6 more
europepmc   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Analisis dan Implementasi Firefly Algorithm dalam Multi Layer Perceptron untuk Pengenalan Karakter Numerik [PDF]

, 2012
ABSTRAKSI: Artificial Neural Network (ANN) merupakan salah satu metode yang baik untuk Patern Recognition (pengenalan pola), berdasarkan arsitekturnya Multi Layer Perceptron (MLP) merupakan ANN yang mempunyai layer hidden. Sedangkan Firefly Algorithm (FA)
Idris Erlen Kusuma Pradipta
core